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Improved Bayesian inference for the stochastic block model with application to large networks

โœ Scribed by Aaron F. McDaid; Thomas Brendan Murphy; Nial Friel; Neil J. Hurley

Book ID
119223993
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
569 KB
Volume
60
Category
Article
ISSN
0167-9473

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โœ Denis Fougรจre; Thierry Kamionka ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 318 KB

## Abstract This paper presents Bayesian inference procedures for the continuous time moverโ€“stayer model applied to labour market transition data collected in discrete time. These methods allow us to derive the probability of embeddability of the discreteโ€time modelling with the continuousโ€time one